Payload swing control of a tower crane using a neural network–based input shaper

• Main Authors: Fasih, S. M., Mohamed, Zaharuddin, Husain, Abdul Rashid, Ramli, Liyana, Abdullahi, Auwalu, Anjum, Waqas
• Format: Article
• Published: SAGE Publications Ltd 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/89989/; http://dx.doi.org/10.1177/0020294020920895

This paper proposes an input shaping technique for efficient payload swing control of a tower crane with cable length variations. Artificial neural network is utilized to design a zero vibration derivative shaper that can be updated according to different cable lengths as the natural frequency and d...